OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning

no code implementations • ICML 2020 • Alexander Vezhnevets, Yuhuai Wu, Maria Eckstein, Rémi Leblond, Joel Z. Leibo

This paper investigates generalisation in multi-agent games, where the generality of the agent can be evaluated by playing against opponents it hasn't seen during training.

Multi-agent Reinforcement Learning reinforcement-learning +1